The term “linear models” describes a wide class of methods for the statistical analysis of multivariate data. The underlying theory is grounded in linear algebra and multivariate statistics, but applications range from biological research to public policy. The objective of this course is to provide a solid introduction to both the theory and practice of linear models, combining mathematical concepts with realistic examples.
Mon/Wed/Fri 9:00am - 9:50am @ Gibson Hall 126 and Zoom https://tulane.zoom.us/j/91380486474
Dr. Xiang Ji
Office: Gibson 401D
Email: xji4@tulane.edu
Office hours: by appointment.
We mainly follow the book
with supplements of
https://tulane-math-7260-2023.github.io/
Any students with disabilities or other needs, who need special accommodations in this course, are invited to share these concerns or requests with the instructor and should contact Goldman Center for Student Accessibility: http://accessibility.tulane.edu (Links to an external site.)or 504.862.8433.
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